ECE 452. - Digital Signal Processing

Credits: 3

This course covers the fundamental theories involved in digital signal processing and their application to real-world systems. Topics include the sampling theorem, discrete linear systems, Fourier, Laplace, and z Transforms, digital filters, error correction coding, and data compression. Students gain real-world experience by implementing DSP algorithms in real-time computer programs and off-line computer simulations. The course is administered as two 50-minute lectures per week and a three-hour lab. Student learning is assessed through in-class exams and quizzes, a final exam, homework, and laboratory/programming assignments.

Prerequisite(s): ECE 445

Lecture-Lab (ex: 3-1 means 3 hrs lecture and 1 hr lab): 2-3
Term(s) Offered: Spring

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